mekman/zenlib
The Zero Effort Network Library for Python
Discovered public repositories for mekman in the GitHub catalog.
The Zero Effort Network Library for Python
This package implements algorithms for identifying overlapping communities in large undirected networks. The sampling based algorithms derive from stochastic variational inference under the (assortative) mixed-membership stochastic blockmodel. For details see the following reference: http://www.pnas.org/content/early/2013/08/14/1221839110.full.pdf
Machine learning for NeuroImaging in Python
Bay area fMRI course description
Pycortex is a python-based toolkit for surface visualization in fMRI data
Statistical plots for Python
Diffusion MR Imaging in Python
Starter Human Brain Atlas Analysis Code
Python function as pipeline jobs.
scikit-learn: machine learning in Python
Python package to access a cacophony of neuro-imaging file formats
Public repository.
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
Introduction to Statistics
NeuroSynth core tools
An efficient python module for analysis and manipulation of graphs.
Lectures on scientific computing with python, as IPython notebooks.
Python module to create heatmaps
An introduction to Bayesian methods + probabilistic programming in data analysis with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Render some probabilistic graphical models using matplotlib
NumPy aware dynamic Python compiler using LLVM
MarsBaR region of interest toolbox for SPM
Link prediction made easy.
Octopress is an obsessively designed framework for Jekyll blogging. It’s easy to configure and easy to deploy. Sweet huh?
NetworkX